Digital Transformation is necessarily “data driven”-based on data we find answers and discover new questions. Advanced analytics and Big Data help us find new opportunities; by dealing with large volumes and varieties of data we broaden our view of the scenario and gain competitive advantages. By analyzing data we more easily identify and verify avenues for continuous improvement of business processes. The course illustrates how machine learning works properly and its opportunities for application in projects to gain real business advantage.
Methodology
The course is delivered in an interactive mode and will alternate between practice, sharing and lecture moments aimed at acquiring applicable tools.
Goals
Present through real cases how Machine Learning works and the opportunities to use it and combine it with Big Data to improve competitiveness.
Program
- What is machine learning (ML) and how it works: examples of models and application platforms
- Tools and skills needed to implement and manage a project: examples
- The new skills: the data scientist
- What are the differences with traditional algorithms
- Because it is so topical
- The concrete benefits for business
- When is it correct to use Machine Learning technology?
- How processes change if a Machine Learning solution is adopted.
